A Survey on Recent Intrusion Detection Systems in Cloud Environment

Cloud computing is widely used nowadays as it offers a scalable environment and flexible services; therefore, it becomes a preferred target to exploit by cybercriminals, posing threats to the confidentiality and integrity of shared data and the availability of the offered services, which implies a need for a mechanism that monitors the traffic over the network and detects the intrusion on the cloud. In this paper, we compare recent approaches to intrusion detection based on machine learning and deep learning classifiers trained and evaluated on different benchmark datasets to prevent cloud security issues.